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Mamikon Gulian

Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data

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Mar 20, 2023
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Error-in-variables modelling for operator learning

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Apr 22, 2022
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Probabilistic partition of unity networks: clustering based deep approximation

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Jul 07, 2021
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Gaussian Process Regression constrained by Boundary Value Problems

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Dec 22, 2020
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A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges

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Jun 16, 2020
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Data-driven learning of robust nonlocal physics from high-fidelity synthetic data

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May 17, 2020
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Machine Learning of Space-Fractional Differential Equations

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Aug 14, 2018
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